Calculate the pooled estimate of variance

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    Estimate Variance
chwala
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Homework Statement
See attached
Relevant Equations
stats
1648466908376.png

OK, Let me attempt part (i), first,
Here we have;
##s^2_p ##=##\dfrac{ (n_1-1)s_1^2+(n_2-1)s_2^2}{n_1+n_2-2}##

##s^2_p ##=##\dfrac{ (7-1)0.63953+(7-1)0.6148}{7+7-2}##

##s^2_p ##=##\dfrac{3.83718+3.6888}{12}##

##s^2_p ##=##\dfrac{3.83718+3.6888}{12}##

##s^2_p ##=##\dfrac{7.52598}{12}##

##s^2_p ##=##0.627165## its located between the two original variances... correct? i do not have markscheme nor solutions...

* Reading on this topic now...the literature is really confusing on the so called population data (presumably all the n values in a given data set) and sample data...
 
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i) Your sample sizes are uniform, so there's no need for weighted averages here. Find the variance estimates for both populations and then take their arithmetic mean.
 
nuuskur said:
i) Your sample sizes are uniform, so there's no need for weighted averages here. Find the variance estimates for both populations and then take their arithmetic mean.
Ok mate i.e ##\dfrac {0.63953+0.6148}{2}##= ##\dfrac {1.25433}{2}=0.627165## .

For part (ii), Let, ##μ_1## and##μ_2## be the mean for boys and girls respectively, then
We want to test the hypothesis; as per the question...

##H_0##: ##μ_1##=##μ_2## - Mean weight of boys is equal to mean weight of girls.
##H_A##: ##μ_1##<##μ_2## - Mean weight of boys is less than the mean weight of girls.

Using the t-statistic and also considering that dof =##12##and ##α=0.05## then it follows that the critical value = ##-1.782##
We shall therefore have,
##t##=##\dfrac {2.5429-3.18571}{\sqrt{(0.627165^2(\frac {1}{6}+\frac {1}{6})}}##=##\dfrac {2.5429-3.18571}{0.256040263}##=##-2.5105 < -1.782 ## We thefore Reject the Null hypothesis and accept the Alternative hypothesis.
 
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Your notation is overloaded. You likely mean ##\mu _1## for boys and ##\mu _2## for girls. Hypotheses are logical negations of one another. This is not the case right now.
 
nuuskur said:
Your notation is overloaded. You likely mean ##\mu _1## for boys and ##\mu _2## for girls. Hypotheses are logical negations of one another. This is not the case right now.
Amended ...sorry was a bit busy...
 
nuuskur said:
Your notation is overloaded. You likely mean ##\mu _1## for boys and ##\mu _2## for girls. Hypotheses are logical negations of one another. This is not the case right now.
Is it now correct?
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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